ArticleNature medicine2024
A brain cell atlas integrating single-cell transcriptomes across human brain regions.
Article in Nature medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07688538 (Mapping of the Developmental Atlas of the Visual System and Research on Embryonic Neurogenesis Phenomena), which is not on this map. Cited by 64 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Mapping of the Developmental Atlas of the Visual System and Research on Embryonic Neurogenesis Phenomena
Who cites it
64 citing papers in PubMed.
- Review
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- Integrated analysis of single-cell transcriptome identifies a glial-neurovascular signaling trajectory in brain repair after ischemia.Biology direct · 2026Article
- Continual integration of single-cell multimodal data with MIRACLE.Nature computational science · 2026Article
- Functional development of midbrain and pons during human gestation and electrophysiological markers for DS intervention.Journal of advanced research · 2026Article
- Review
- dsRNAscan maps human dsRNAome, revealing conservation, intermolecular dsRNA, and correlates of ADAR dependency.Molecular cell · 2026Article
- Youth-associated protein TIMP2 regulates microglial state and function in healthy and aged mice.Nature communications · 2026Article
- A consensus atlas of human brain development defines cell type-specific maturation trajectories across the lifespan.bioRxiv : the preprint server for biology · 2026Article
- An MRI Atlas of Regional Brain Vulnerability to Metastatic Disease.medRxiv : the preprint server for health sciences · 2026Article
- 1 Hz Low-Frequency Repetitive Transcranial Magnetic Stimulation Ameliorates Epilepsy by Suppressing Interferon-γ Signaling-Dependent Microglial Synaptic Phagocytosis in Mice.CNS neuroscience & therapeutics · 2026Article
- Decoding sequence determinants of gene expression in diverse cellular and disease states.Nature methods · 2026Article
- Systematic identification of cell-cell interactions associated with the severity of patients with Alzheimer's disease.Journal of Alzheimer's disease : JAD · 2026Article
- From identity to function: unveiling the cellular complexity of hypothalamic feeding circuits.Reviews in endocrine & metabolic disorders · 2026Review
- Emerging Roles of Adenosine Metabolism in Astrocytes During Brain Injury.CNS neuroscience & therapeutics · 2026Review
- A Novel Polygenic Risk Score Indexing Somatostatin-Expressing Inhibitory Neurons Predicts Somatostatin-Expressing Cell Proportions and Severity of Symptoms in Late-Life Depression.Biological psychiatry global open science · 2026Article
- On the molecular basis of enduring memory in neurons, and cell fate in fibroblasts.Nucleic acids research · 2026Review
- A novel deep learning-driven framework for improving lncRNA comprehensive annotation with LncADeep 2.0.Bioinformatics (Oxford, England) · 2026Article
- Perinatal brain developmental transition revealed by transcriptomic and proteomic analyses of Bama miniature pigs.Nature communications · 2026Article
- Article
4 more citing papers are in PubMed but not listed here.
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Authors and funding
14 authors.
Funding
Abstract
While single-cell technologies have greatly advanced our comprehension of human brain cell types and functions, studies including large numbers of donors and multiple brain regions are needed to extend our understanding of brain cell heterogeneity. Integrating atlas-level single-cell data presents a chance to reveal rare cell types and cellular heterogeneity across brain regions. Here we present the Brain Cell Atlas, a comprehensive reference atlas of brain cells, by assembling single-cell data from 70 human and 103 mouse studies of the brain throughout major developmental stages across brain regions, covering over 26.3 million cells or nuclei from both healthy and diseased tissues. Using machine-learning based algorithms, the Brain Cell Atlas provides a consensus cell type annotation, and it showcases the identification of putative neural progenitor cells and a cell subpopulation of PCDH9
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